INFSCI 1040 INTRODUCTION TO DATA ANALYTICS (replaced by INFSCI 1530, effective June 30, 2020)

The ability to collect, store and process large amounts of detailed data in a variety of fields has led to a surge in the use of data in various decision-making tasks, ranging from governmental policy-making to drafting players in sports. Data literacy is thus important and In this first introductory course, we will focus on shifting the traditional mode of deterministic (yes/no) thinking to probabilistic thinking. We will see concepts from applied probability and statistics, while we will also explore a variety of data analysis methods including linear regression, matrix factorization, and network analysis.

Academic Career: Undergraduate
Course Component: Lecture
Grade Component: Letter Grade (default) Satisfactory/No credit (option)
Course Requirements: PREQ: INFSCI 0019
Minimum Credits: 3
Maximum Credits: 3